Scientists are turning away from brain scan studies after years of flashy results
Brain scans offer a tantalizing glimpse into the mind’s mysteries, promising an almost X-ray-like vision into how we feel pain, interpret faces and wiggle fingers.
Studies based on brain images have suggested that Republicans and Democrats have visibly different thinking, that overweight adults have stronger responses to pictures of food, and that it’s possible to predict a sober person’s likelihood of relapse.
But such buzzy findings are coming under growing scrutiny as scientists grapple with the fact that some brain scan research doesn’t seem to hold up.
Such studies have been criticized for relying on too few subjects and for incorrectly analyzing or interpreting data. Researchers have also realized a person’s brain scan results can differ from day to day, even under identical conditions.
With so many questions being raised, some researchers are acknowledging the scans’ limitations. Some are working to overcome them, and others are turning to other tests.
In July, Duke University researcher Annchen Knodt‘s lab published a paper in the journal Psychological Science that challenged the reliability of common brain scan projects. It was based on about 60 studies from the last decade — including some of her own.
“We found this poor result across the board,” Knodt said. “We’re basically discrediting much of the work we’ve done.”
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The research being re-examined relies on a technique called functional magnetic resonance imaging, or fMRI.
Using large magnets, the scans detect where oxygenated blood rushes to when someone does an activity — such as memorizing a list of words or touching fingertips together — allowing scientists to indirectly measure brain activity.
When the technology debuted in the early 1990s, it opened a seemingly revolutionary window into the human brain.
Other previous imaging techniques tracked brain activity through electrodes placed on the skull or radioactive tracers injected into the bloodstream. In comparison, fMRI seemed like a fast, high-resolution and noninvasive alternative.
A flurry of papers and media coverage followed the technique’s invention, pointing to parts of the brain that “light up” when we fall in love, feel pain, gamble, play video games or make difficult decisions. But as years passed, troubling evidence began to surface that challenged some of those findings.
“It’s a very powerful thing to show a picture of the brain. It lends itself to abuse, in some ways,” said Damian Stanley, a brain scientist at Adelphi University. “People eat them up, things get overblown. Somewhere in there, we lost the nuance.”
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In 2009, a group of scientists investigated papers that had linked individual differences in brain activity to various personality types. They found many used a type of analysis that reported only the strongest correlations, leading to potentially coincidental conclusions.
A “disturbingly large” amount of fMRI research on emotion and personality relied on these “seriously defective research methods,” the group wrote in the journal Perspectives on Psychological Science.
Later that year, another pair of researchers demonstrated that the raw results of imaging scans — without the proper statistical corrections — could detect brain activity in a dead Atlantic salmon.
Four years ago, another group of scientists claimed a different common statistical error had led thousands of fMRI projects astray.
This year, Stanford University researchers described what happened when they gave the same fMRI data to 70 groups of independent neuroscientists. No two teams used the same analysis methods and, overall, the researchers did not always come to the same conclusions about what the data demonstrated about brain activity, the Stanford team reported in the journal Nature.
“In the end, we probably jumped on the fMRI bandwagon a little too fast,” said Duke University neuroscientist Anita Disney. “It’s reached the threshold of concern for a lot of us.”
With doubts growing, many labs have become more cautious about what imaging techniques to use in efforts to unravel the average brain’s 110,000 miles of nerve fibers.
Yale University researcher Joy Hirsch, for example, wants to understand “the social brain” — what happens when people talk, touch or make eye contact. She’s opted out of fMRI, since it can only be used on a single person who must remain perfectly still for imaging inside a large scanner.
Instead, Hirsch uses an alternative technology that bounces laser lights off of a fiber optic cable-laced skullcap into the brain to detect blood flow. The technique, called functional near infrared spectroscopy, allows her subjects to move freely during scanning and permits her to study live social interactions among several people.
Disney also shies away from fMRI, which she says is too crude of an instrument for her forays into the molecular relationship among brain chemistry, behavior and states like arousal and attentiveness.
That doesn’t mean everyone is walking away from fMRI.
Some surgeons depend on the technique to map a patient’s brain before surgeries, and the technology has proved itself useful for broadly mapping the neural mechanisms of diseases such as schizophrenia or Alzheimer’s.
Some say it’s too early to know whether they’ll adopt it as a tool.
“In that early hyper-sexy phase of a new technique, it is actually really difficult to get people to do the basic work of understanding its limitations,” Disney said.
The evolving understanding of fMRI and its limits shows science at work and should ultimately make people more confident in the results, not less, said Stanford brain scientist Russ Poldrack.
“We want to show people you have to pay attention to this stuff,” Poldrack said. “Otherwise people are going to lose faith in our ability to answer questions.”
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